Network Temporalization (5.0.4)

Context

Tools | Time Series | Network Temporalization

New: Temporalization Options

The Temporalization tool has been upgraded to include the following new features:

• Specifying a Temporal Step Size: This is particularly helpful when a certain lag structure in the data-generating process is already known. For instance, if the data was recorded with a daily frequency, and you know of the existence of a weekly seasonal pattern, you might use a step size of 7.
• The row identifiers can now be used to distinguish between time series, e.g. of different subjects, that are stacked in a single column.
• The variables and classes are named from “t-n” to “t”, following the convention used in econometrics.